rl-stock-trading
Unverified ML strategy on Indices by swyang50066. BotFinder score 18 out of 100.
WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application
Source: github
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rl-stock-trading
WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application 1. WATERMELON This repository is to introduce a multi-agent stock trading algorithm with a jointed policy distribution trained under strategy of deep reinforcement learning. The source code includes stock trading environment built with GYM API, various reinforcement learning algorithms (A2C, DDPG, PPO, ... etc.), and GUI application. As to RL algorithms, the numerical parts are largely built with numpy, but deep learning and linear algebra are to be accelerated and parallelized by using Tensorflow/Pytorch and JAX. Unfortunately, the source code is currently under maintenance but of which alpha version is going to be released as soon as possible! 2. Requirements 3. Installation This would be updated soon! 4. Usage This would be updated soon! 5. Contribution and Issue This would be updated soon! 6. Resource This would be updated soon! 7. Reference [[1]](https://damoracapital.com/wp-content/uploads/2021/04/Deep-reinforcement-learning-for-Automated-Stock-trading-Ensemble-Strategy-ID
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